Article
Environmental Sciences
Haoxuan Yu, Izni Zahidi, Chow Ming Fai
Summary: This paper suggests that abandoned tailings ponds can be transformed into fertile agricultural land through effective reclamation efforts. Serving as a discussion paper, it explores the environmental and health risks associated with tailings ponds, as well as the potential and obstacles in repurposing them for agriculture. The discussion concludes that while there are significant challenges, there are encouraging prospects with the implementation of comprehensive efforts.
ENVIRONMENTAL RESEARCH
(2023)
Article
Engineering, Environmental
Yinrun Xiao, Conglong Liu, Na Hu, Bowen Wang, Kuanyu Zheng, Zhiwei Zhao, Tao Li
Summary: Reclamation using fast-growing trees shows potential for agroforestry development in non-ferrous metal mining areas. However, the role of ectomycorrhizal fungi (ECMF) and their relationship with reclaimed trees is not well understood. In this study, the restoration of ECMF and their functions in poplar trees growing in a derelict metal mine tailings pond were explored. Results showed that Bovista limosa enhanced poplar heavy metal tolerance and promoted plant growth by alleviating Cd phytotoxicity and reducing Cd accumulation in host tissues. These findings suggest that introducing adaptive ECMF could be an alternative approach for reforestation and phytomanagement in barren metal mining areas.
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Geosciences, Multidisciplinary
Bo Liu, Wei Song
Summary: In light of the COVID-19 pandemic and ongoing armed conflicts, the world is facing an unparalleled food crisis. Reclaiming abandoned cropland with potential for food production could rapidly increase global food supply and ensure food security. Utilizing within-year Sentinel-2 time series, a change-detection method was developed to identify and extract abandoned cropland in Linxia County, China, from 2018 to 2021. The method proved effective in accurately detecting and differentiating various types of abandoned cropland, providing valuable insights for future land use change research.
Article
Environmental Sciences
Hengkai Li, Beibei Zhou, Feng Xu, Zhian Wei
Summary: This study analyzes the spectral characteristics of reclaimed vegetation in the rare earth mining area and identifies spectral indices related to chlorophyll content. Sensitive spectral parameters are extracted and different algorithms are used to estimate chlorophyll content. The results provide a scientific basis for monitoring and managing the growth of reclaimed vegetation in rare earth mining areas and guiding ecological restoration efforts.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Yingpin Yang, Zhifeng Wu, Wenju Xiao, Ya'nan Zhou, Qiting Huang, Tianjun Wu, Jiancheng Luo, Haiyun Wang
Summary: This study developed a new method for mapping abandoned land based on spatiotemporal features extracted from PolSAR Single Look Complex images using deep learning methods. The results showed that the introduction of multitemporal polarimetric parameters and spatial features improved the accuracy of identifying abandoned land. The combination of backscattering features, polarimetric parameters, and spatial features yielded the best performance, with a producer's accuracy of 88.29% and a user's accuracy of 84.03%. This study demonstrated the potential of polarimetric parameters and validated the effectiveness of spatiotemporal features in identifying abandoned land, providing a practical method for reliable mapping in cloudy and rainy areas.
Article
Geosciences, Multidisciplinary
Aaron E. Maxwell, Charles M. Shobe
Summary: This review focuses on the use of land-surface parameters derived from digital land surface models (DLSMs) in mapping and modeling tasks. It discusses the challenges in selecting and optimizing the feature space, highlights best practices and future research needs, and explores recent developments that may simplify feature space engineering in predictive modeling tasks.
EARTH-SCIENCE REVIEWS
(2022)
Article
Engineering, Geological
Melih Genis, Omer Aydan
Summary: This paper presents the outcomes of studies on the dynamic characteristics of ground and amplification of ground motions above abandoned mines, as well as the effects of extraction and topographic parameters. The research shows that ground amplifications can be significant on abandoned mines, particularly near steep cliffs.
ENVIRONMENTAL GEOTECHNICS
(2022)
Article
Environmental Sciences
Rongjia Wang, Jianfeng Zhang, Hui Sun, Shiyong Sun, Guanghua Qin, Yumin Song
Summary: Mining activity and abandoned mine land are significant sources of heavy metal pollution. This study investigated the impact of different vegetation on copper (Cu) accumulation and soil amelioration, with Pueraria lobata showing the best remediation effect on soil Cu pollution. The findings suggest that phytoremediation in abandoned mine lands can effectively reduce heavy metal pollution and promote sustainable development.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Environmental Sciences
Shenwen Cai, Shaoqi Zhou, Junwei Cheng, Qinghe Wang, Ying Dai
Summary: The study analyzed the chemical fractions of heavy metals and microbial compositions in surface sediments from the Mo-Ni polymetallic mine area. It found that Cd had high bioavailability and posed a high environmental risk. The microbial communities showed varied responses to different sampling sites.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Ting Lu, Cong Lin, Ya Ping Wang, Hao Wu, Mengxiao Zhou, Yu Chen, Yu Shen
Summary: This study investigates the shoreline changes and sediment supply in the Yangtze River Delta Urban Agglomerations using remote sensing images and hydrodynamic data. The research finds that the sediment replenishment from radial sand ridges plays a crucial role in shoreline expansion, and there are still sufficient sediments to support shoreline expansion despite upstream sediment reduction.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Multidisciplinary Sciences
Stefan Giljum, Victor Maus, Nikolas Kuschnig, Sebastian Luckeneder, Michael Tost, Laura J. Sonter, Anthony J. Bebbington
Summary: The growing demand for minerals worldwide has led to deforestation, especially in tropical forests where mining and mineral processing have the most significant environmental impacts. Studies have shown extensive and long-lasting effects on biodiversity and ecosystem services caused by mining. However, the full extent of deforestation induced by industrial mining across the tropics remains unknown.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Environmental Sciences
Jiali Shentu, Yi Fang, Yangyang Wang, Yuxue Cui, Min Zhu
Summary: The pollution of heavy metals in soils of abandoned industrial sites in southeastern China is significant, posing risks to human health. Cd is the most susceptible to external factors, followed by Zn, Pb, Cr, Ni, and Cu. The bioaccessibility of heavy metals has a correlation with their bioavailability, and a regression model based on soil parameters can predict the bioaccessibility of heavy metals. The total concentration of heavy metals, Fe, soil texture, and pH control the bioaccessibility. The hazard index and carcinogenic risk values are significantly reduced when based on gastrointestinal bioaccessibility. This study provides a theoretical basis for the assessment of human health risks in abandoned industrial sites.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2023)
Article
Environmental Sciences
Sergio Morell-Monzo, Maria-Teresa Sebastia-Frasquet, Javier Estornell
Summary: This research proposes a methodology to map abandoned citrus plots using spectral and textural features derived from NDVI, with pixel-based classification using the Random Forest algorithm. The model showed high overall accuracy for both pixel-based classification (87%) and plot-based classification (95%), with key variables such as contrast, dissimilarity, NIR band, and blue band being statistically significant.
Article
Green & Sustainable Science & Technology
Qiao Xu, Hailiang Xu, Yan Wei, Aishajiang Aili
Summary: This study compared and analyzed the short-term and long-term restoration effects of two supplementary planting measures (sowing commercial seeds and sowing soil seed banks) in an abandoned mining area in the Altay Mountain. The results showed that both methods significantly improved the growth status of surface vegetation and had positive effects on soil conditions.
Article
Engineering, Environmental
Hengfeng Liu, Yanjun Wang, Shun Pang, Xinfu Wang, Jianguo He, Jixiong Zhang, Alfonso Rodriguez-Dono
Summary: Longwall caving mining (LCM) can lead to severe environmental problems including ground subsidence and heavy metal pollution in soils. The study found a correlation between surface subsidence law and distribution of heavy metals, offering a new interpretation of LCM's impact. Further analysis identified coal mining-induced subsidence as the main source of heavy metal pollution in soils, highlighting the need for comprehensive strategies to mitigate environmental impact.
JOURNAL OF HAZARDOUS MATERIALS
(2022)
Article
Environmental Sciences
Weibin Zeng, Xiaoming Wan, Mei Lei, Gaoquan Gu, Tongbin Chen
Summary: Phytoextraction using hyperaccumulator Pteris vittata has been applied for arsenic removal, but standardization of this technology faces challenges due to differences in studies. Factors influencing arsenic concentration in P. vittata include soil components like organic matter and available arsenic, as well as environmental factors such as total potassium concentration and rainfall. Predictive models established for greenhouse and field conditions showed the importance of soil available arsenic and rainfall in determining arsenic concentration in P. vittata, indicating potential for improving phytoextraction efficiency and technological standardization.
ENVIRONMENTAL POLLUTION
(2022)
Article
Environmental Sciences
Changhe Wei, Mei Lei, Tongbin Chen, Chenghu Zhou, Runyao Gu
Summary: By estimating the cumulative Cd emission of non-ferrous metal enterprises (NMEs) in China and identifying the emission hotspots, this study provides insights into the spatial distribution of Cd pollution. A significant positive correlation was observed between NMEs and soil Cd, except for secondary smelting enterprises. A modified approach for regional source apportionment of soil pollution was proposed to obtain a more realistic and precise drawing. This study highlights the importance of targeted management and control of Cd pollution in key industries and hotspots.
ENVIRONMENTAL POLLUTION
(2022)
Article
Environmental Sciences
Changhe Wei, Mei Lei, Shaobin Wang
Summary: This study investigates the spatial heterogeneity and influence factors of public lifespan in the Beijing-Tianjin-Hebei (BTH) region of China, by using geographically weighted regression (GWR) to integrate environment and socio-economic factors. The results reveal significant spatial variability in lifespan indicators, with socio-economic factors having a dominant influence on lifespan.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Engineering, Environmental
Wen Cai, Tongbin Chen, Mei Lei, Xiaoming Wan
Summary: Extract from arsenic-rich biomass, such as rutin, can promote broiler growth and reduce antibiotic usage in the industry. However, it may pose health and environmental risks, while also benefiting the sustainability of phytoremediation and broiler industry through waste exchange.
JOURNAL OF HAZARDOUS MATERIALS
(2022)
Article
Environmental Sciences
Jun Yang, Yunxian Yan, Nanjia Lu, Xiaoming Wan, Junxing Yang, Huading Shi, Tongbin Chen, Mei Lei
Summary: This study identified the inflection points and main influencing factors for arsenic accumulation in Pteris vittata under field conditions, highlighting soil humidity as a key factor affecting arsenic accumulation. The results showed that increasing soil humidity can substantially improve arsenic extraction efficiency in P. vittata, providing valuable insights for remediation of arsenic-contaminated soils under similar climatic conditions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Yunxian Yan, Jun Yang, Xiaoming Wan, Huading Shi, Junxing Yang, Chuang Ma, Mei Lei, Tongbin Chen
Summary: This study clarified the spatio-temporal characteristics of arsenic during the Pteris vittata L.-Citrus reticulata Blanco intercropping process through a pot positioning experiment. The results showed a significant decrease in arsenic concentration in Citrus reticulata leaves in the intercropping system, reducing pollution risks.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Chaoyang Liu, Haixia Tian, Xiaoyue Gu, Ni Li, Xiaoning Zhao, Mei Lei, Hattan Alharbi, Mallavarapu Megharaj, Wenxiang He, Yakov Kuzyakov
Summary: Soil enzymes play a crucial role in carbon and nutrient cycling and are sensitive to warming. This study examines the enzyme responses to warming based on the Arrhenius law and physiological theory. The results show that enzyme catalytic efficiency remains stable at low temperatures and increases at higher temperatures, highlighting the importance of considering physiological theory in understanding enzyme activities under warming.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Mei Lei, Kai Li, Guanghui Guo, Tienan Ju
Summary: Understanding the sources and risks of soil PTEs is important for pollution control and risk prevention. This study identified and apportioned the sources of soil PTEs in a mining and industrial area in southwestern China using statistical methods and models. It was found that smelting activities related to arsenic were the main source of pollution and posed the highest health risks.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Xianglin Zhang, Jie Xue, Songchao Chen, Nan Wang, Zhou Shi, Yuanfang Huang, Zhiqing Zhuo
Summary: This study provides the up-to-date spatial distribution map of soil organic carbon in drylands of Northeast and North China Plain using machine learning algorithms. The results showed that SOC increased from south to north and decreased with soil depths. Random Forest performed better in terms of prediction accuracy and robustness. Soil, parent material, and organism were identified as the most important variables in SOC prediction.
Article
Environmental Sciences
Xiaohui Chen, Mei Lei, Shiwen Zhang, Degang Zhang, Guanghui Guo, Xiaofeng Zhao
Summary: This study used the integration of geostatistical and chemometric methods, including positive matrix factorization (PMF), cokriging (CK), and locally weighted regression (LWR), to identify subregions with different industries and analyze the sources, spatial patterns, and prevention distance of soil heavy metal pollution in a county-level area.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Computer Science, Information Systems
Mulin Chen, Hongyan Cai, Li Wang, Mei Lei
Summary: Understanding the risks posed by potentially toxic metals (PTMs) in large regions is crucial for environmental management. However, traditional field sampling or administrative statistical data methods are time-consuming and not precise. This study utilized multi-source data and proposed a novel model based on atmospheric deposition to assess PTMs in Yunnan Province, China at a 1 km scale. The findings demonstrate the reliability and cost-effectiveness of multi-source data for assessing pollution risks in large areas.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Environmental Studies
Huaizhi Tang, Jiacheng Niu, Zibing Niu, Qi Liu, Yuanfang Huang, Wenju Yun, Chongyang Shen, Zejun Huo
Summary: As the attention to cultivated land quality increases, there are widespread connotation generalization and cognitive bias, which pose many challenges to the investigation, evaluation, and data analysis of regional cultivated land quality. Therefore, a systematic and interdisciplinary cognitive approach to cultivated land quality is urgently needed. In this study, a conceptual framework for cultivated land quality analysis was developed, including ontology, mapping, correlation, and decision models. The framework demonstrated strong adaptability, efficiency, and scalability, offering a theoretical direction for further studies on cultivated land quality evaluation.
Article
Environmental Sciences
Yang Yan, Jiajie Yang, Baoguo Li, Chengzhi Qin, Wenjun Ji, Yan Xu, Yuanfang Huang
Summary: This study aims to test the feasibility of using UAV hyperspectral data to map soil organic matter at a 1 m resolution. The results show that the random forest model based on UAV hyperspectral data can successfully predict soil organic matter with high accuracy, compared to other prediction methods.
Article
Environmental Studies
Huaizhi Tang, Zibing Niu, Feng Cheng, Jiacheng Niu, Leina Zhang, Mengyu Guo, Yuanfang Huang
Summary: This study focuses on evaluating the natural resource thresholds of cultivated land in China at a regional scale. By developing innovative classification and short-board identification methods and adopting various technical analyses, the study finds that China mainly maintains medium-quality land with certain limiting factors. There are notable differences in the restrictive factors of cultivated land quality among regions. The study also proposes different management strategies based on regional differences in cultivated land quality.
Article
Environmental Studies
Jiacheng Niu, Huaizhi Tang, Qi Liu, Feng Cheng, Leina Zhang, Lingling Sang, Yuanfang Huang, Chongyang Shen, Bingbo Gao, Zibing Niu
Summary: This study investigated the influencing factors of soil bacterial diversity in a black soil region. The results showed that broad effect, accumulated temperature, and pH were the main factors affecting soil bacterial diversity. The broad effect was more significant in the spatial effect, possibly due to local landscape configuration.